An Image Inpainting Method Using Information of Damage Region
Guoyue Chen, Xingguo Zhang, Nakui Kazutaka, Kazuki Saruta, Yuki Terata, Min Zhu · 2016
With the development of digital images processing, image inpainting is become one of the most impressive and useful technique. Based on partial derivative equations or texture synthesis, many image inpainting techniques have been proposed. Amano et al. proposed a method that based on eigenspace analyzes, which is called Back Projection for Lost Pixels (BPLP). It obtains the eigenspace from a set of learning samples from original image, then estimating the missing region by inverse projection and a linear combination of the eigenspace. But it remains have some obvious discomfort surrounding the damage region after restoration treatment. In this paper, we have proposed an adaptation of BPLP algorithms, which are performing well on images with natural defects.